C8 Health Secures $12M to AI-Enable Clinical Protocols

C8 Health, a New York–based AI startup, just raised $12 million in Series A funding to solve a $345 billion problem: fragmented access to clinical best practices. Backed by Team8, 10D, and Vertex Ventures, the company’s chatbot and knowledge platform brings siloed protocols into one searchable, role-based solution for hospital staff.

The Fragmented Reality of Clinical Knowledge

Hospitals rely on dozens of systems—from SharePoint and Docuware to email threads and sticky notes taped on walls—to store policies, guidelines, and protocols. Clinicians waste valuable time hunting through up to 15 apps just to find a single piece of information, increasing the risk of errors and slowing down patient care.

An AI Solution at the Point of Care

C8 Health’s platform ingests, cleans, and structures every type of clinical content—PDFs, videos, scanned docs—then tailors it to each user’s role, department, and schedule. Available on mobile, desktop, and within EMRs, it uses a friendly red panda avatar to:

• Centralize policies, protocols, and guidelines into one searchable library
• Proactively surface relevant guidance before procedures
• Integrate seamlessly with EMRs and mobile workflows
• Deliver real-time performance dashboards and quality reminders

Rapid Adoption and Measurable Impact

Hospitals report clinician adoption rates above 90 percent within six months. At MetroHealth, daily engagement hit 3.49 views per user, with nearly 90 percent of activity on mobile devices. Providers like Dartmouth Health and Mount Sinai praise the platform’s ability to centralize over 750 knowledge items and replace scattered protocol sources.

Scaling for System-Wide Integration

With $18 million total funding, C8 Health plans to expand deployments across U.S. hospitals and into outpatient and urgent care settings. By embedding the platform directly in EMRs and engaging clinicians where they work, the startup aims to make evidence-based best practices accessible at any hour—especially during critical overnight procedures.

Broader Implications for Healthcare Delivery

As staffing becomes more fluid and workflows more complex, real-time access to institutional knowledge isn’t a luxury—it’s essential. By proactively delivering the right content to the right person at the right time, AI-powered platforms can reduce errors, improve quality scores, and ultimately support safer, more efficient patient care.